Thinkster Learning, Inc.

United States of America

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G06F 16/432 - Query formulation 2
G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually 2
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content 2
G06F 16/9535 - Search customisation based on user profiles and personalisation 2
G06F 40/10 - Text processing 2
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Found results for  patents

1.

Intelligent and contextual system for test management

      
Application Number 17410631
Grant Number 11928984
Status In Force
Filing Date 2021-08-24
First Publication Date 2021-12-09
Grant Date 2024-03-12
Owner Thinkster Learning Inc. (USA)
Inventor
  • Panuganty, Ramesh
  • Panuganty, Swapna
  • Elayavalli, Rajesh Ananth
  • Ryali, Srikanth
  • Acharya, Nikhil Ravindra

Abstract

Techniques described herein provide intelligent context-based testing. One or more implementations receive an image that includes content. In turn, some implementations process the image to extract test information from the content, such as questions, answers, learning material, and so forth. By analyzing the test information, various implementations determine one or more characteristics associated with the test information, and dynamically generate new test information based on the determined one or more characteristics. As one example, some implementations obtain new content by searching for content that includes the one or more characteristics and generate new test information based on the new content and the extracted test information.

IPC Classes  ?

  • G09B 5/06 - Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
  • G06F 16/432 - Query formulation
  • G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
  • G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
  • G06F 16/9535 - Search customisation based on user profiles and personalisation
  • G06F 40/10 - Text processing
  • G06F 40/103 - Formatting, i.e. changing of presentation of documents
  • G06V 30/416 - Extracting the logical structure, e.g. chapters, sections or page numbersIdentifying elements of the document, e.g. authors
  • G09B 7/02 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student
  • G09B 7/04 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
  • G09B 7/077 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers providing for individual presentation of questions to a plurality of student stations different stations being capable of presenting different questions simultaneously
  • H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof

2.

Intelligent and contextual system for knowledge progression and quiz management

      
Application Number 16002971
Grant Number 11030913
Status In Force
Filing Date 2018-06-07
First Publication Date 2019-12-12
Grant Date 2021-06-08
Owner Thinkster Learning, Inc. (USA)
Inventor
  • Panuganty, Ramesh
  • Panuganty, Swapna

Abstract

Techniques described herein provide intelligent context-based testing. One or more implementations receive an image that includes content. In turn, some implementations process the image to extract test information from the content, such as questions, answers, learning material, and so forth. By analyzing the test information, various implementations determine one or more characteristics associated with the test information, and dynamically generate new test information based on the determined one or more characteristics. As one example, some implementations obtain new content by searching for content that includes the one or more characteristics and generate new test information based on the new content and the extracted test information.

IPC Classes  ?

  • G09B 7/04 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
  • G09B 7/077 - Electrically-operated teaching apparatus or devices working with questions and answers of the multiple-choice answer type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers providing for individual presentation of questions to a plurality of student stations different stations being capable of presenting different questions simultaneously
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G09B 5/06 - Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
  • G06F 16/9535 - Search customisation based on user profiles and personalisation
  • G06F 40/10 - Text processing
  • H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
  • G06F 40/103 - Formatting, i.e. changing of presentation of documents
  • G09B 7/02 - Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by the student
  • G06F 16/432 - Query formulation
  • G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
  • G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
  • G06K 9/46 - Extraction of features or characteristics of the image